﻿This readme file was generated on 2022-10-05 by John Yuen Jr.

GENERAL INFORMATION

Title of Dataset: LipidSearch dataset for lipidomics in: Aggregating in vitro-grown adipocytes to produce macroscale cell-cultured fat with tunable lipid compositions for food applications

Principal Investigator Information
Name: David Kaplan
ORCID: 0000-0002-9245-7774
Institution: Tufts University
Address: Medford, Massachusetts, United States
Email: david.kaplan@tufts.edu

Author Information
Name: John Yuen Jr
ORCID: 0000-0001-9854-1654
Institution: Tufts University
Address: Medford, Massachusetts, United States
Email: john.yuen_jr@tufts.edu

Author Information
Name: Michael Saad
ORCID: 0000-0001-6380-360X
Institution: Tufts University
Address: Medford, Massachusetts, United States
Email: michael.saad@tufts.edu

Date of data collection: 2021-2022 

Geographic location of data collection: Boston, Massachusetts, United States

Information about funding sources that supported the collection of the data: Advanced Research Projects Agency–Energy (United States), Award: 1954-1558


SHARING/ACCESS INFORMATION

Licenses/restrictions placed on the data: This work is licensed under a CC0 1.0 Universal (CC0 1.0) Public Domain Dedication license.

Links to publications that cite or use the data: https://www.biorxiv.org/content/10.1101/2022.06.08.495192

Recommended citation for this dataset: https://doi.org/10.5061/dryad.w3r2280tw


DATA & FILE OVERVIEW

File List: 
Adipocyte_Aggregation_Lipidomics_Raw_Data.xlsx
LipidSearch_Nonpolar_Lipid_Class_Key_2019.xlsx

METHODOLOGICAL INFORMATION

Description of methods used for collection/generation of data: Samples of in vitro and in vivo adipose tissue were lipid extracted using methyl tert-butyl ether (MTBE) and dried under nitrogen, then submitted to the John Asara Laboratory at the Beth Israel Deaconess Medical Center. LC-MS/MS (lipidomics) was performed on the samples in accordance with Breitkopf et al. 2017. 

Breitkopf et al. 2017: https://doi.org/10.1007/s11306-016-1157-8

Additional details are in the main publication - https://doi.org/10.1101/2022.06.08.495192

Methods for processing the data: This dataset is the peak aligned and lipid species-identified LC-MS/MS data output from LipidSearch (ThermoFisher).

Instrument- or software-specific information needed to interpret the data: A Python script was written to quantify the triacylglycerides and phospholipids reported in the datasets: https://github.com/mksaad28/Yuen_et_al

Experimental conditions: The fatty acid compositions of in vitro produced adipose, alongside their in vivo counterparts, were compared.

People involved with sample collection, processing, analysis and/or submission: John Asara Laboratory at the Beth Israel Deaconess Medical Center in Boston, Massachusetts, United States


DATA-SPECIFIC INFORMATION FOR: Adipocyte_Aggregation_Lipidomics_Raw_Data.xlsx

Number of variables: 14

Number of cases/rows: 1918-2557 depending on sheet

Variable List: Rej., LipidIon, LipidGroup, Class, FattyAcid, FA1, FA2, FA3, CalcMz, IonFormula, Area, ObsMz, Rt, Delta(ppm)

Missing data codes: null

Specialized formats or other abbreviations used: Row 1 describes the sample group, row 2 describes the variable within that specific sample group.

DATA-SPECIFIC INFORMATION FOR: LipidSearch_Nonpolar_Lipid_Class_Key_2019.xlsx

Number of variables: 3

Number of cases/rows: 81

Variable List: Group, classKey, Lipid Name

Missing data codes: null
